Key publications, open-source tools, and research directions in TEM automation, 4D-STEM, tomography, and AI-assisted microscopy.
Software is now central to modern transmission electron microscopy. Today’s TEM and STEM workflows depend on automated acquisition, microscope scripting, detector synchronization, tomography reconstruction, 4D-STEM analysis, machine learning, and increasingly autonomous experimental control.
This publication library curates influential papers, software platforms, and research directions that have shaped the software ecosystem for modern electron microscopy.
This paper reviews advanced data acquisition capabilities available through the SerialEM platform. The software improves automation and efficiency for complex electron microscopy experiments.
The authors develop a fast fiducial-marker tracking model for automated alignment in electron tomography. The algorithm improves processing speed and supports large-scale reconstruction workflows.
This chapter discusses methods for aligning tilt-series datasets used in electron tomography. Accurate registration of projection images improves reconstruction quality and enables more reliable three-dimensional analysis.
This study explores the application of the SOPHIAS detector in synchrotron-radiation X-ray experiments. The detector enhances data acquisition and imaging performance for advanced experimental studies.
cisTEM offers a user-friendly platform for single-particle cryo-EM image processing. Its integrated graphical interface simplifies job management, reconstruction, and high-resolution structure determination.
Dr. Probe is presented as a dedicated tool for high-resolution STEM image simulation and analysis. The software aids interpretation of experimental observations by reproducing image formation processes with strong physical realism.
The authors develop electric-shielding films for biased TEM experiments and in-situ electron holography. The methodology improves measurement accuracy when studying electrically active materials.
The authors apply cepstral analysis to 4D-STEM nano-diffraction data for extracting grain orientations and strain information. The technique reveals structural variations across complex materials with high sensitivity.
The authors present high-resolution resistance mapping techniques implemented within SEM nanoprobing systems. Advances in instrumentation improve measurement sensitivity, speed, and electrical characterization capabilities.
DIALS is a software suite for processing crystallographic diffraction data. The package supports spot finding, indexing, refinement, and integration for structural biology and crystallography research.
This work introduces an unattended SEM-EDS methodology for quantifying asbestos fibers. Automated acquisition and analysis help increase efficiency while maintaining analytical reliability for environmental assessments.
This work employs in-situ SEM and TEM nanomechanical testing to examine wear and failure mechanisms at small length scales. Real-time observations provide insight into deformation, damage evolution, and material reliability.
Xi-cam is a versatile platform for scientific data visualization, management, and analysis. Its extensible architecture supports high-throughput synchrotron workflows and user-defined processing pipelines.
The study uses SEM-EDS analysis to identify multiple phases in alkali-activated slag materials. Understanding phase distribution helps explain the properties and performance of these cementitious systems.
The authors apply phase-field simulations to investigate stress evolution in sodium-ion battery electrode particles. The model helps explain how phase transformations influence mechanical stability during cycling.
This reference provides a concise guide to Python syntax and techniques for data-mining tasks. It serves as a practical resource for data analysis, manipulation, and exploratory workflows.
The authors quantify and optimize ADF-STEM image contrast for beam-sensitive specimens. Their analysis identifies imaging conditions that maximize information while limiting radiation damage.
This study integrates real-time tomography reconstruction with interactive three-dimensional visualization through tomviz. Users can monitor results during acquisition and rapidly evaluate reconstruction quality.
RELION-3 expands automated cryo-EM structure determination with new computational tools and performance enhancements. The software improves processing flexibility and supports high-resolution reconstruction pipelines.
This study presents a method for reducing ring artifacts in synchrotron X-ray tomography through helical acquisition strategies. The technique enhances reconstructed image quality and improves downstream analysis.